{
  "checks": [
    {
      "detail": "59 files hashed; 0 changed, 0 added, 0 removed",
      "id": "A1",
      "numbers": {
        "changed": 0,
        "changed_paths": [],
        "files": 59
      },
      "seconds": 253.0,
      "status": "PASS",
      "title": "Rebuild is byte-identical"
    },
    {
      "detail": "59/59 files verified against v1.json (0 mismatched, 0 missing)",
      "id": "A2",
      "numbers": {
        "bad": [],
        "missing": [],
        "ok": 59
      },
      "seconds": 0.4,
      "status": "PASS",
      "title": "`data.fetch --verify-only` passes"
    },
    {
      "detail": "every Pile subject exactly 27,000,000 in train.bin; every held-out half within 1% of 2,500,000 per subject",
      "id": "A3",
      "numbers": {
        "bio": 15142237,
        "heldout": {
          "label": {
            "FreeLaw": 2501133,
            "Github": 2500326,
            "Pile-CC": 2501942,
            "PubMed Central": 2503922,
            "USPTO Backgrounds": 2500388,
            "Wikipedia (en)": 2500790
          },
          "test": {
            "FreeLaw": 2502989,
            "Github": 2502662,
            "Pile-CC": 2501855,
            "PubMed Central": 2502199,
            "USPTO Backgrounds": 2500283,
            "Wikipedia (en)": 2500584
          }
        },
        "train": {
          "FreeLaw": 27000000,
          "Github": 27000000,
          "Pile-CC": 27000000,
          "PubMed Central": 27000000,
          "Wikipedia (en)": 27000000
        }
      },
      "seconds": 0.0,
      "status": "PASS",
      "title": "Token counts per subject and half"
    },
    {
      "detail": "worst deviation 0.416 points across 598 overlapping windows (stride 250,000), tolerance 2.0",
      "id": "A4",
      "numbers": {
        "n_windows": 598,
        "worst": {
          "FreeLaw": {
            "at_token": 85000000,
            "target_share": 0.179829,
            "worst_deviation_points": 0.3938,
            "worst_share": 0.175892
          },
          "Github": {
            "at_token": 71750000,
            "target_share": 0.179829,
            "worst_deviation_points": 0.3518,
            "worst_share": 0.176311
          },
          "Pile-CC": {
            "at_token": 15500000,
            "target_share": 0.179829,
            "worst_deviation_points": 0.416,
            "worst_share": 0.17567
          },
          "PubMed Central": {
            "at_token": 110750000,
            "target_share": 0.179829,
            "worst_deviation_points": 0.4143,
            "worst_share": 0.175687
          },
          "Wikipedia (en)": {
            "at_token": 128000000,
            "target_share": 0.179829,
            "worst_deviation_points": 0.3908,
            "worst_share": 0.183737
          },
          "bio": {
            "at_token": 147000000,
            "target_share": 0.100853,
            "worst_deviation_points": 0.168,
            "worst_share": 0.102533
          }
        }
      },
      "seconds": 2.9,
      "status": "PASS",
      "title": "Shares in every 1,000,000-token window"
    },
    {
      "detail": "train.bin: 150,475,264 tokens, 332,886 segments, 333,027 EOT separator/pad tokens, max id 50256 | label.bin: 15,021,806 tokens, 13,306 segments, 13,305 EOT separator/pad tokens, max id 50256 | test.bin: 15,023,952 tokens, 13,381 segments, 13,380 EOT separator/pad tokens, max id 50256",
      "id": "A5",
      "numbers": {
        "label.bin": {
          "covered": 15008501,
          "eot_gap_tokens": 13305,
          "max_id": 50256,
          "segments": 13306,
          "tokens": 15021806
        },
        "test.bin": {
          "covered": 15010572,
          "eot_gap_tokens": 13380,
          "max_id": 50256,
          "segments": 13381,
          "tokens": 15023952
        },
        "train.bin": {
          "covered": 150142237,
          "eot_gap_tokens": 333027,
          "max_id": 50256,
          "segments": 332886,
          "tokens": 150475264
        }
      },
      "seconds": 0.3,
      "status": "PASS",
      "title": "Format: dtype, vocab bound, EOT, index tiling"
    },
    {
      "detail": "1,000 random segments checked token for token (820 of them whole documents, also compared as text); 0 mismatches",
      "id": "A6",
      "numbers": {
        "mismatches": [],
        "sampled": 1000,
        "whole_documents": 820
      },
      "seconds": 2.8,
      "status": "PASS",
      "title": "Decoding index segments reproduces the source"
    },
    {
      "detail": "ids disjoint across train/label/test; 0 exact-hash matches; 0 documents over 50%; worst single document 50.0%; aggregates Pile-CC=0.64%, Github=14.35%, PubMed=2.93%, FreeLaw=9.21%, Wikipedia=2.14%, USPTO=0.00%",
      "id": "A7",
      "numbers": {
        "documents_over_threshold": 0,
        "exact_duplicates": 0,
        "ids": {
          "label": 13306,
          "test": 13381,
          "train": 113247
        },
        "ngram": {
          "FreeLaw": {
            "aggregate": 0.092085,
            "ceiling": 0.15,
            "max_document": 0.5,
            "train_13grams": 28718183
          },
          "Github": {
            "aggregate": 0.143485,
            "ceiling": 0.25,
            "max_document": 0.5,
            "train_13grams": 22467753
          },
          "Pile-CC": {
            "aggregate": 0.006409,
            "ceiling": 0.05,
            "max_document": 0.495238,
            "train_13grams": 30818919
          },
          "PubMed Central": {
            "aggregate": 0.029253,
            "ceiling": 0.05,
            "max_document": 0.492899,
            "train_13grams": 30670380
          },
          "USPTO Backgrounds": {
            "aggregate": 0.0,
            "ceiling": 0.05,
            "max_document": 0.0,
            "note": "no training text"
          },
          "Wikipedia (en)": {
            "aggregate": 0.021441,
            "ceiling": 0.05,
            "max_document": 0.5,
            "train_13grams": 31062799
          }
        }
      },
      "seconds": 88.3,
      "status": "PASS",
      "title": "Leaks: ids, exact hashes, 13-gram overlap"
    },
    {
      "detail": "halves share 0 documents; smallest half/subject is 708 documents (minimum 500); longest document 4096 tokens (cap 4096)",
      "id": "A8",
      "numbers": {
        "documents": {
          "label": {
            "FreeLaw": 943,
            "Github": 1762,
            "Pile-CC": 3042,
            "PubMed Central": 708,
            "USPTO Backgrounds": 3029,
            "Wikipedia (en)": 3822
          },
          "test": {
            "FreeLaw": 995,
            "Github": 1815,
            "Pile-CC": 3087,
            "PubMed Central": 713,
            "USPTO Backgrounds": 3084,
            "Wikipedia (en)": 3687
          }
        },
        "shared": 0
      },
      "seconds": 0.0,
      "status": "PASS",
      "title": "Halves: disjoint, >=500 docs, <=4096 tokens"
    },
    {
      "detail": "['USPTO Backgrounds'] appear in 0 train.bin segments by document id and 0 by subject label; train.bin carries ['FreeLaw', 'Github', 'Pile-CC', 'PubMed Central', 'Wikipedia (en)', 'bio']",
      "id": "A9",
      "numbers": {
        "heldout_only": [
          "USPTO Backgrounds"
        ],
        "segments": 0
      },
      "seconds": 0.0,
      "status": "PASS",
      "title": "No held-out-only subject in train.bin"
    },
    {
      "detail": "142,886 Pile segments: index subject == raw-archive meta.pile_set_name == the document id's slug; 190,000 biography segments all labelled `bio` with a known person id",
      "id": "A10",
      "numbers": {
        "bio_segments": 190000,
        "pile_segments": 142886,
        "problems": [],
        "raw_documents": 177718
      },
      "seconds": 4.9,
      "status": "PASS",
      "title": "Subject labels agree with the source"
    },
    {
      "detail": "accuracy 94.87% on 13,381 test-half documents (threshold 90%); per subject Pile-CC=89.7%, Github=97.8%, PubMed=97.6%, FreeLaw=99.1%, Wikipedia=95.0%, USPTO=96.2%",
      "id": "A11",
      "numbers": {
        "accuracy": 0.948733,
        "confusion": [
          [
            2769,
            14,
            29,
            18,
            210,
            47
          ],
          [
            13,
            1775,
            22,
            2,
            2,
            1
          ],
          [
            12,
            2,
            696,
            0,
            3,
            0
          ],
          [
            4,
            3,
            0,
            986,
            0,
            2
          ],
          [
            86,
            3,
            40,
            9,
            3503,
            46
          ],
          [
            25,
            0,
            91,
            0,
            2,
            2966
          ]
        ],
        "documents": 13381,
        "per_subject_recall": {
          "FreeLaw": 0.991,
          "Github": 0.978,
          "Pile-CC": 0.897,
          "PubMed Central": 0.9762,
          "USPTO Backgrounds": 0.9617,
          "Wikipedia (en)": 0.9501
        },
        "subjects": [
          "Pile-CC",
          "Github",
          "PubMed Central",
          "FreeLaw",
          "Wikipedia (en)",
          "USPTO Backgrounds"
        ]
      },
      "seconds": 0.5,
      "status": "PASS",
      "title": "Bag-of-words subject classifier (sanity)"
    },
    {
      "detail": "2,500 people, names unique and absent from the Pile, genders {'female': 1250, 'male': 1250}, 5 facts each; first-token uniqueness holds per list (first two for birth_date, which has only 12 distinct first tokens); chi-square p birth_date=0.124, birth_city=0.877, university=0.183, major=0.940, employer=0.347",
      "id": "A12",
      "numbers": {
        "by_gender": {
          "female": 1250,
          "male": 1250
        },
        "chisquare_p": {
          "birth_city": 0.876588,
          "birth_date": 0.123935,
          "employer": 0.347052,
          "major": 0.940421,
          "university": 0.182991
        },
        "missing_values_in_rewordings": 0,
        "names_in_pile": 0,
        "people": 2500,
        "tokens": {
          "birth_city": {
            "distinct_first": 200,
            "prefix_tokens": 1,
            "unique": true,
            "values": 200
          },
          "birth_date": {
            "distinct_first": 12,
            "prefix_tokens": 2,
            "unique": true,
            "values": 200
          },
          "employer": {
            "distinct_first": 250,
            "prefix_tokens": 1,
            "unique": true,
            "values": 250
          },
          "major": {
            "distinct_first": 100,
            "prefix_tokens": 1,
            "unique": true,
            "values": 100
          },
          "university": {
            "distinct_first": 300,
            "prefix_tokens": 1,
            "unique": true,
            "values": 300
          }
        }
      },
      "seconds": 0.0,
      "status": "PASS",
      "title": "Biography facts"
    },
    {
      "detail": "100,000 rows: **0** leak the value verbatim (0), **0** via the person's name (0), **0** via another of the person's values (0); 50,000 training prompts are exact prefixes of their biography; 50,000 paraphrase prompts, 200 of them searched in full against train.bin and absent; held-out markers inside biography text: 'Question:'=0, 'When it comes to'=0, 'is on record as'=0, 'reads as follows'=0 (the same markers occur 571 times in ordinary Pile text, which is not a leak); REPORTED: 48 rows whose ranking key is a TEMPLATE word (birth_city=Thessaloniki, Greece, employer=Heineken, major=Theology, university=Aalborg University)",
      "id": "A13",
      "numbers": {
        "bio_marker_hits": {
          "Question:": 0,
          "When it comes to": 0,
          "is on record as": 0,
          "reads as follows": 0
        },
        "leak_value_verbatim": [],
        "leak_via_name": [],
        "leak_via_other_value": [],
        "n_leak_value_verbatim": 0,
        "n_leak_via_name": 0,
        "n_leak_via_other_value": 0,
        "paraphrase_prompts": 50000,
        "pile_marker_hits": {
          "Question:": 102,
          "When it comes to": 275,
          "is on record as": 2,
          "reads as follows": 192
        },
        "rows": 100000,
        "template_word_rows": 48,
        "template_word_values": {
          "birth_city=Thessaloniki, Greece": 6,
          "employer=Heineken": 17,
          "major=Theology": 20,
          "university=Aalborg University": 5
        },
        "train_prompts": 50000
      },
      "seconds": 8.0,
      "status": "PASS",
      "title": "Fact prompts: no answer leaks"
    },
    {
      "detail": "190,000 copies over 2,000 trained people, every count equal to its tier target and spread over the 4 rewordings; 0 cross a 512-token boundary; 0 of 500 control names appear in train text",
      "id": "A14",
      "numbers": {
        "control_names_found": [],
        "copies": 190000,
        "crossing": 0,
        "people_with_copies": 2000
      },
      "seconds": 3.4,
      "status": "PASS",
      "title": "Exposure counts and control isolation"
    },
    {
      "detail": "random scorer: mean rank fraction 0.502, top-1 0.558% over 36,000 prompts; untrained model: 0.501, top-1 0.525% over 4,000; mean candidate list 210",
      "id": "A15",
      "numbers": {
        "random": {
          "candidates_mean": 210.0,
          "mean_margin": -2.7352,
          "mean_rank": 105.448,
          "mean_rank_fraction": 0.502106,
          "median_rank": 92.0,
          "n": 36000,
          "top1": 0.005583
        },
        "rank_fraction_by_attribute": {
          "random/birth_city": 0.50306,
          "random/birth_date": 0.504117,
          "random/employer": 0.502423,
          "random/major": 0.5004,
          "random/university": 0.50053,
          "untrained/birth_city": 0.505019,
          "untrained/birth_date": 0.484719,
          "untrained/employer": 0.499975,
          "untrained/major": 0.519098,
          "untrained/university": 0.49444
        },
        "untrained": {
          "candidates_mean": 210.0,
          "mean_margin": -1.1695,
          "mean_rank": 104.635,
          "mean_rank_fraction": 0.500638,
          "median_rank": 92.0,
          "n": 4000,
          "top1": 0.00525
        }
      },
      "seconds": 10.0,
      "status": "PASS",
      "title": "Probe floor: random and untrained sit mid-list"
    },
    {
      "detail": "293,896 sequences of 512; same seed reproduces the order, a different seed does not, the order is a permutation, and a resume from (seed, position) matches an unbroken run",
      "id": "A16",
      "numbers": {
        "n_sequences": 293896,
        "resume_position": 12
      },
      "seconds": 0.1,
      "status": "PASS",
      "title": "Loader: order, resume, shapes"
    },
    {
      "detail": "Pile-CC: model 6.7886 vs unigram 7.559; Github: model 5.7371 vs unigram 6.3888; PubMed: model 6.5792 vs unigram 7.4554; FreeLaw: model 5.8735 vs unigram 6.8493; Wikipedia: model 7.0163 vs unigram 7.72; USPTO: model 7.0021 vs unigram 7.9605",
      "id": "A17",
      "numbers": {
        "FreeLaw": {
          "counts_from": "own training text",
          "smoke_run_loss": 5.8735,
          "tokens": 2502989,
          "unigram_cross_entropy": 6.8493
        },
        "Github": {
          "counts_from": "own training text",
          "smoke_run_loss": 5.7371,
          "tokens": 2502662,
          "unigram_cross_entropy": 6.3888
        },
        "Pile-CC": {
          "counts_from": "own training text",
          "smoke_run_loss": 6.7886,
          "tokens": 2501855,
          "unigram_cross_entropy": 7.559
        },
        "PubMed Central": {
          "counts_from": "own training text",
          "smoke_run_loss": 6.5792,
          "tokens": 2502199,
          "unigram_cross_entropy": 7.4554
        },
        "USPTO Backgrounds": {
          "counts_from": "pooled 5 subjects",
          "smoke_run_loss": 7.0021,
          "tokens": 2500283,
          "unigram_cross_entropy": 7.9605
        },
        "Wikipedia (en)": {
          "counts_from": "own training text",
          "smoke_run_loss": 7.0163,
          "tokens": 2500584,
          "unigram_cross_entropy": 7.72
        }
      },
      "seconds": 7.0,
      "status": "PASS",
      "title": "Model beats the per-subject unigram baseline"
    },
    {
      "detail": "5,830 steps / 96M tokens in 2.03 h of training. test top-1: frequent 40.5%, normal 3.1%, rare 0.8%, control 0.6% (frequent/control = 64.003x, needs 2x; monotone yes). paraphrase top-1: frequent 2.2%, control 0.4%",
      "id": "A18",
      "numbers": {
        "steps": 5830,
        "tokens_seen": 95518720,
        "verdict": {
          "checks": {
            "frequent_at_least_twice_control": {
              "control": 0.006333,
              "frequent": 0.405333,
              "pass": true,
              "ratio": 64.003
            },
            "monotone_frequent_normal_rare": {
              "frequent": 0.405333,
              "normal": 0.031,
              "pass": true,
              "rare": 0.008
            }
          },
          "paraphrase_top1": {
            "control": 0.004,
            "frequent": 0.021667,
            "normal": 0.006833,
            "rare": 0.006333
          },
          "pass": true,
          "test_top1": {
            "control": 0.006333,
            "frequent": 0.405333,
            "normal": 0.031,
            "rare": 0.008
          }
        }
      },
      "seconds": 0.0,
      "status": "PASS",
      "title": "Biography facts are learnable"
    }
  ],
  "fingerprints": {
    "bios": "7a8c48a96792d725205138dc31b1291033e6e18521603c6b6e987da2f2bb5ec4",
    "pack": "15643c90477c31a7cbc5e394b1f353d795bb417ad6a5ef656b772ebbc1e91e81",
    "pile": "3f4303d9b926b730d8d9bd9269084c6052df66b63aece15a07af100866aa2984"
  },
  "revision": "3be90335b66f24456a5d6659d9c8d208c0357119",
  "version": "v1"
}